Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Gen AI Platform Engineer role.
Rezi rewrites your resume against GSK's job description. Free.
Tailor your resume to this Senior Gen AI Platform Engineer role.
Rezi rewrites your resume against GSK's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Gen AI Platform Engineer posting at GSK — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Gen AI Platform Engineer posting at GSK — free, in seconds.
About the Role
The Onyx Research Data Tech organization is GSK’s Research data ecosystem, designed to bring together, analyze, and power the exploration of data at scale. We partner with scientists to develop tailored solutions, ensuring they have the right data and insights to accelerate medical discovery and get ahead of disease. Onyx is a full-stack organization focused on building a next-generation, metadata- and automation-driven data experience, providing best-in-class AI/ML, GenAI, and data analysis environments, and engineering data at scale as a unified asset. We are looking for a highly skilled Senior GenAI Platform Engineer to contribute to our vision of developing transformational medicines using AI and GenAI.
Responsibilities
- Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud.
- Co-design major software components of the GenAI Platform and contribute to development of production code in Python.
- Participate in both design reviews and PR reviews.
- Accountable for key component(s) of GenAI Platform with a focus on usability, reproducibility, and performance at scale.
- Integrate with DataOps and Data Engineering products for optimal performance and ease of use in ML training at scale.
- Participate in scrum teams and contribute technical expertise to closely aligned technical areas.
- Design innovative strategies and ways of working to create a better environment for end users.
- Act as a standard bearer for proper ways of working and engineering discipline, including CI/CD best practices.
- Proactively contribute to improvements within your engineering area.
Requirements
- Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineering, or related discipline.
- 4+ years of software engineering experience building production systems.
- Experience with Python proficiency in writing well-instrumented, tested, and maintainable code.
- API design and developer experience focus (versioning, SDKs, docs).
- Ability to collaborate with ML/security/product teams.
- Experience building platforms for service-specific lifecycle management (e.g., Models, Agents, MCP services) involving development tools, CI/CD workflows, API discovery, routing, authentication, and observability.
- Deep knowledge of integrating applications with LLMs.
- Experience with an agent framework such as LangGraph.
- Experience in operating production multi-tenant Vector DBs (e.g., Weaviate).
- Expertise with embedding/modeling best practices.
- Experience with fine-tuning and/or optimized deployments of LLMs.
- Experience with infrastructure-as-code and CI/CD tools (e.g., Terraform and Github Actions).
- Google Cloud expertise, including scalable cloud compute services, such as Google Batch and Vertex AI.
Skills
- AI Frameworks
- Algorithm Optimization
- Artificial Neural Networks (ANNS)
- Computer Programming
- Deep Learning
- Feature Engineering
- Google Cloud Platform (GCP) for Machine Learning
- Machine Learning Algorithms
- Machine Learning Operations
- Microsoft Azure Data and AI
- ML Frameworks
- Model Evaluation
- Model Training
- Model Validation
- Performance Optimizations
- Software Development Life Cycle (SDLC)
- Python
- API Design
- CI/CD
- Infrastructure-as-code
- Terraform
- Github Actions
- Google Cloud
- Google Batch
- Vertex AI
- LangGraph
- Weaviate
Location
- Cambridge, MA
- Waltham, MA
- Rockville, MD
- San Francisco, CA
Work Type
- Full-time
Experience Level
- Senior
- 4+ years of software engineering experience
Education Level
- Bachelor’s degree
- Master’s degree
- PhD degree
Salary/Compensations
- $158,400 to $264,000
Benefits
- Annual bonus
- Eligibility to participate in share-based long-term incentive program
- Health care and other insurance benefits (for employee and family)
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave
About the Company
- GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together.
- We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.
- We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines.
- We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
- Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Equal Opportunity
- GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.